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Job Summary
The Senior Data Engineer will serve as the primary technical owner responsible for the maintenance, enhancement, operational support, and reliability of an enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion. The platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The role requires strong expertise across Scala, Apache Spark, Hive, Drools, and the Cloudera Data Platform (CDP), with responsibility for production code, business and regulatory changes, application defects, production operations, performance optimization, and operational administration.
Key Responsibilities
• Own the Scala and Spark application framework supporting Medicaid Encounter Processing.
• Own the Drools business rule implementation and ongoing rule maintenance.
• Own enterprise data ingestion processes for master data and source system files.
• Own Spark and Hive batch processing workflows.
• Investigate production issues and resolve application defects.
• Manage production releases, version management, and deployment coordination.
• Perform application performance tuning and optimization.
• Maintain technical documentation, operational procedures, and knowledge transfer materials.
• Provide basic operational administration and monitoring of the Cloudera Data Platform while coordinating with infrastructure and cloud operations teams.
• Maintain and enhance the production code base following business and regulatory changes.
• Support the ongoing reliability, maintainability, and operational continuity of the data processing platform.
Required Qualifications
• 7+ years of experience developing enterprise-scale distributed data processing applications.
• Strong hands-on development experience with Scala.
• Experience developing applications using Apache Spark 2.x and/or Spark 3.x.
• Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions.
• Experience with Apache Hive 3.x for data processing and Hive table management.
• Experience implementing business rules using the Drools Rules Engine.
• Strong SQL development and query optimization skills.
• Experience supporting Linux-based production environments.
• Experience troubleshooting distributed Spark applications in production.
• Experience using Git and modern version control practices.
Preferred Qualifications
• Medicaid or healthcare experience.
• Experience with Medicaid Encounter Processing.
• Experience with Cloudera Manager, HDFS, and YARN.
• Experience integrating with IBM DataStage.
• Familiarity with AWS infrastructure supporting Cloudera.
• Experience with Agile, Jira, and Confluence.
